(20181206) NEDC TUH EEG Artifact Corpus (v1.0.0): This is our first release of the TUH EEG Artifact Corpus. This corpus was developed to aid in EEG event classification such as seizure detection algorithms.
(20181201) Congratulations to our team for hosting IEEE SPMB 2018. We had a lot of wonderful papers and posters presented, as well as two excellent plenary talks. The technical program can be found here.
(20181113) The Neural Engineering Data Consortium gave a presentation at the John Hopkins University HLT on EEG Event Classification Using Deep Learning.
NIH Cohort Retrieval
Electronic medical records (EMRs) collected at every hospital in the country collectively contain a staggering wealth of biomedical knowledge. This information is essential for conducting comparative effectiveness research. Uncovering clinical knowledge that enables comparative research is the primary goal of this project.
TUH EEG Corpus
Electroencephalography (EEG) is the recording of electrical activity along the scalp using an array of electrodes positioned strategically around a patient's head. The TUH EEG Corpus represents NEDC's first effort to provide a massive corpus available to the community.